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MATLABFIR
MATLAB设计的FIR滤波器，包括程序，我发了很长时间的，希望对大家有用，谢谢(MATLAB FIR filter design, including the procedure, I made a very long time, we want to be useful, thank you)
- 2010-05-31 13:47:49下载
- 积分：1
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bifurcation_diagram
混沌系统在小周期状态进入混沌状态时的分岔图绘制，用MATLAB实现(MATLAB chaos)
- 2010-08-25 14:44:25下载
- 积分：1
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shuiyin
运用matlab对数字图像进行仿真，得到其压缩后的图像(Use of matlab for digital image simulation, the compressed image)
- 2011-05-16 11:19:05下载
- 积分：1
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fiche_pedagogique
TRES IMPORTANT SUR LES MOTEURS PAS 0 PAS
- 2011-11-15 23:49:03下载
- 积分：1
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LS
说明： 对于给定的200组数据用基本最小二乘算法辨识其确定的差分方程系数(For a given set of data with 200 basic identification of least-squares algorithm which determines the differential equation coefficients)
- 2013-05-23 16:41:07下载
- 积分：1
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onephaseRMS
采用并网电压有效值控制，作为电流内环的给定参考值，单位功率因素运行(use RMS control the voltage and the current)
- 2016-09-07 16:24:12下载
- 积分：1
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ber
模拟直扩系统中加性高斯白噪声信道环境下接受机误码率的计算(DS simulation system additive white Gaussian noise channel environment sets the bit error rate calculation)
- 2008-07-22 19:42:38下载
- 积分：1
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matlabChapter_18
通信系统中用matlab对系统的性能进行仿真，其中包括分集接收机(Communication systems using matlab to simulate the performance of the system, including the diversity receiver)
- 2011-05-07 09:24:53下载
- 积分：1
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gene_bpnn_xor
一个很好用的matlab程序,基于遗传算法和bp神经网络的matlab程序(a good use of Matlab procedures, based on genetic algorithms and neural networks bp procedures Matlab)
- 2006-07-04 14:54:40下载
- 积分：1
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DLTcode
Robust Non-negative Dictionary Learning for Visual Tracking
The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence.
To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m.
To run on individual video, you need to modify the dataPath and title in run_individual.m.
If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!
- 2014-09-02 12:25:35下载
- 积分：1
